Pytorch Implementation​: Siamese Network

Project Goal This project uses the Labeled Faces in the Wild (LFW) dataset, and the goal is to train variants of deep architectures to learn when a pair of images of faces is the same person or not. It is a Pytorch implementation of Siamese network with 19 layers. Method Consider a Convolutional Neural Network Continue reading Pytorch Implementation​: Siamese Network